Nestedness and τ-temperature in ecological networks

Gilberto Corso, Nicholas F Britton

Research output: Contribution to journalArticlepeer-review

5 Citations (SciVal)
215 Downloads (Pure)


The τ-temperature is a measure of disorder of bipartite networks that is based on the total Manhattan distance of the adjacency matrix. Two properties of this measure are that it does not depend on permutations of lines or columns that have the same connectivity and it is completely determined by connectivities of lines and columns. The normalisation of τ is done by an uniform random matrix whose elements were previously sorted. τ shows no bias against uniform random matrices of several occupations, ρ, sizes, L, and shapes. The scaling of the total Manhattan distance of a random matrix is D rand ∝ L 3 ρ while the same scaling for a full nested matrix is D nest ∝ L 3 ρ 3/2. We test τ for a large set of empirical matrices to verify these scalings. The index τ correlates better with the temperature of Atmar than with the NODF index of nestedness. We conclude this work by discussing differences between nestedness indices and order/disorder indices.
Original languageEnglish
Pages (from-to)137-143
JournalEcological Complexity
Publication statusPublished - Sept 2012


Dive into the research topics of 'Nestedness and τ-temperature in ecological networks'. Together they form a unique fingerprint.

Cite this